Keywords : electrical impedance tomography, microwave imaging, multimodal imaging, deep learning prior, Plug-and-Play Context and challenges: Stroke imaging helps physicians to quickly tell whether a brain event is due to bleeding or a blocked vessel, and to follow the patient’s condition at the bedside. There is still no single radiation-free…
Towards a complete processing chain of 6D pose estimation for upper limb neuro-prostheses control Supervisors:Jenny Benois-Pineau (Labri, U Bordeaux), co-supervisor Renaud Péteri (MIA, U La Rochelle) Context The context of this internship is visual assistance for controlling bionic neuroprostheses. The LABRI and MIA laboratories are involved in a national project,…
Keywords AI, CT-Scan, foundation models, deep learning, Data fusion, personalized medicine Context Radiotherapy is a cornerstone of cancer treatment, enabling the selective destruction of tumor cells while controlling disease progression. Despite its proven efficacy across many cancer types, it can also inadvertently damage surrounding healthy tissues, leading to adverse effects…
AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data) We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which…
Contact: Ke Feng, Chargée de Recherche CNRS, ke.feng@ensea.frLab: ETIS UMR 8051, CYU, ENSEA, CNRS, 6 Av. du Ponceau, 95000 Cergy, FranceDuration: 6 monthsStarting Date: 02/2026 ContextThe objective of this internship is to explore performance guarantees (such as link reliability and delay) for next-generation wireless communication networks and to reduce the…
Centre de Recherche Astrophysique de Lyon Advisors Ferreol Soulez (CRAL, Lyon) Jean-Philippe Berger (IPAG, Grenoble) Keywords: Inverse problems, High-Contrast Imaging, Sparse Aperture Masking, Circumstellar environnement Contact ferreol.soulez@univ-lyon1.fr Potential for a follow-up as a PhD thesis Scientific context: The study of the morphology of protoplanetary disks at very high angular resolution…
Université de Toulon Laboratoire IM2NP (UMR) Sujet de stage (4 mois) – Mars 2026 à mi-juillet. Titre : Développement d’un algorithme de détection adapté aux données « DAS » Le DAS (Distributed Acoustic Sensing) est une technologie offrant de nouvelles opportunités pour la mise en place de systèmes de surveillance sous-marine. A l’aide…
For many years, deep learning has enabled significant performance gains in various applications, even in fields that are not accustomed to using this type of method. Despite these successes, deep learning-based methods still suffer from some drawbacks in applicative fields related to RADAR signal processing. First, these methods require a…
Système d’Exploration Automatisée des Micro-reliefs, protubérances et Emissions gazeuses en milieu maRin. Le stage a pour objectif le développement et la mise en œuvre d’un protocole automatisé de traitement et d’analyse des données de sismique haute résolution, visant : La description détaillée est disponible dans le fichier PDF : https://sdrive.cnrs.fr/s/Ask6R2Ac7BbrNMm
Contexte Ce projet s’inscrit dans le cadre de la recherche en écohydraulique, domaine à l’interface entre l’hydrodynamique et l’écologie. Il vise à améliorer la compréhension des mécanismes d’adaptation comportementale des poissons face aux caractéristiques physiques des écoulements dans les passes à poissons et autres ouvrages de franchissement piscicole. Bien qu’il…
